设计复杂Agent的自复制基础
A Self-Replication Basis for Designing Complex Agents
摘要：
在这项工作中，我们描述了一个自我复制为基础的机制，设计代理的复杂性不断增加。我们证明了这种方法的有效性，通过解决简单的，标准的演化计算问题的模拟。在这些模拟结果的背景下，我们描述了这种方法相比，传统的方法的根本区别。此外，我们强调了将这种方法应用于设计复杂人工代理的问题的可能优势，以及未来要解决的潜在缺点和问题。
英文摘要：
In this work, we describe a self-replication-based mechanism for designing agents of increasing complexity. We demonstrate the validity of this approach by solving simple, standard evolutionary computation problems in simulation. In the context of these simulation results, we describe the fundamental differences of this approach when compared to traditional approaches. Further, we highlight the possible advantages of applying this approach to the problem of designing complex artificial agents, along with the potential drawbacks and issues to be addressed in the future.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
